Using gaming technology to model and predict target movement

Authors:
Ken Doris;David Silvia
Affiliations:
Applied Visions, Inc., Northport, NY;Naval Undersea Warfare Center DivNpt, Newport, RI
Venue:
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 3
Year:
2007

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Abstract

This paper discusses a research project that employs Artificial Intelligence (AI) to improve the ability of military planners to more effectively locate and engage Time-Sensitive Targets (TST's). Target motion prediction is modeled and simulated through the use of multiple software agents employing Goal Oriented Action Planning (GOAP), a type of AI that has had success in commercial computer games. The GOAP logic is augmented through the use of a pathfinding algorithm that includes multiple cost function terrain reasoning. The rationale behind the selection of the specific technologies, as well as progress being made to develop a prototype workstation for future incorporation into the Tactical Tomahawk, is also detailed.